Increasing trial efficiency: Adityo Prakash talks small datasets, real-world scenarios, and organoids

Characterising the behaviour of drugs in humans has historically required extensive clinical trials at considerable time and cost. So, any lab-derived early insight into how drugs will behave in human patients can make drug trials vastly more efficient. In this episode, the pharmaphorum podcast welcomes Adityo Prakash, founder and CEO of Verseon, a clinical-stage pharmaceutical company based in Fremont, California that is developing several drug discovery programmes in cardiometabolic diseases and cancer using molecular physics and artificial intelligence. Prakash discusses development of new AI technologies to handle the small, sparse datasets typical of real-world scenarios, and how testing drugs on organoids – artificially grown masses of cells that resemble the function of specific human organs – can deliver valuable information on the potential effects of drugs in real patients before any human is dosed. You can also listen to episode 201a of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series – on Apple Podcasts, Spotify, Overcast, Pocket Casts, Podbean, and pretty much wherever else you download your other podcasts from.